diff --git a/lib/ftrsd/ftrsd_paper/ftrsd.lyx b/lib/ftrsd/ftrsd_paper/ftrsd.lyx
index 405c7275e..fa55cf70a 100644
--- a/lib/ftrsd/ftrsd_paper/ftrsd.lyx
+++ b/lib/ftrsd/ftrsd_paper/ftrsd.lyx
@@ -139,15 +139,21 @@ WSJT-X
 \emph default
 , widely used for amateur weak-signal communication with JT65 and other
  specialized digital modes.
- The program is freely available and licensed under the GNU General Public
- License.
+ The program is freely available 
+\begin_inset CommandInset citation
+LatexCommand cite
+key "wsjt"
+
+\end_inset
+
+ and licensed under the GNU General Public License.
 \end_layout
 
 \begin_layout Standard
 The JT65 protocol specifies transmissions that normally start one second
  into a UTC minute and last for 46.8 seconds.
- Receiving software therefore has up to several seconds to decode a message,
- before the operator sends a reply at the start of the next minute.
+ Receiving software therefore has up to several seconds to decode a message
+ before the start of the next minute, when the operator sends a reply.
  With today's personal computers, this relatively long time available for
  decoding a short message encourages experimentation with decoders of high
  computational complexity.
@@ -158,7 +164,7 @@ The JT65 protocol specifies transmissions that normally start one second
  properties, not least of which is its conceptual simplicity.
  Decoding performance and complexity scale in a convenient way, providing
  steadily increasing soft-decision decoding gain as a tunable computational
- complexity parameter is increased over more than 5 orders of magnitude.
+ complexity parameter is increased over more than five orders of magnitude.
  Appreciable gain is available from our decoder even on very simple (and
  relatively slow) computers.
  On the other hand, because the algorithm benefits from a large number of
@@ -405,7 +411,7 @@ probabilistic
 \begin_inset CommandInset citation
 LatexCommand cite
 after "Chapter 10"
-key "key-1"
+key "lc2004"
 
 \end_inset
 
@@ -1224,17 +1230,21 @@ Calculate the hard-decision Hamming distance
 \begin_inset Formula $X$
 \end_inset
 
- between the candidate codeword and the received symbols, the corresponding
- soft distance 
+ between the candidate codeword and the received symbols, along with the
+ corresponding soft distance 
 \begin_inset Formula $d_{s}$
 \end_inset
 
-, and the quality metric 
+ and the quality metric 
 \begin_inset Formula $u$
 \end_inset
 
 .
- If 
+ 
+\end_layout
+
+\begin_layout Enumerate
+If 
 \begin_inset Formula $u$
 \end_inset
 
@@ -1242,8 +1252,8 @@ Calculate the hard-decision Hamming distance
 \begin_inset Formula $u_{1}$
 \end_inset
 
- as 
-\begin_inset Formula $u_{2}$
+ by setting 
+\begin_inset Formula $u_{2}=u_{1}$
 \end_inset
 
  and then set 
@@ -1262,11 +1272,11 @@ If
 \begin_inset Formula $d_{s}<d_{0}$
 \end_inset
 
-, go to step 10.
+, go to step 11.
 \end_layout
 
 \begin_layout Enumerate
-If the number of trials is less than the timeout limit
+If the number of trials is less than the timeout limit 
 \begin_inset Formula $T,$
 \end_inset
 
@@ -1287,7 +1297,7 @@ If
 \begin_inset Formula $r<r_{1},$
 \end_inset
 
- go to step 10.
+ go to step 11.
 \end_layout
 
 \begin_layout Enumerate
@@ -1382,18 +1392,18 @@ The FT algorithm is completely general: with equal sensitivity it recovers
 much
 \emph default
  smaller list of messages (say, a few thousand messages or less) that we
- can guess may be among the most likely ones to be received.
+ can guess might be among the most likely ones to be received.
  One such situation exists when making short ham-radio contacts that exchange
  minimal information including callsigns, signal reports, perhaps Maidenhead
  locators, and acknowledgments.
- On the EME path or on a VHF or UHF band with limited geographical coverage,
+ On the EME path or a VHF or UHF band with limited geographical coverage,
  the most likely received messages often originate from callsigns that have
  been decoded before.
  Saving a list of previously decoded callsigns and associated locators makes
  it easy to generate lists of hypothetical messages and their corresponding
  codewords at very little computational expense.
  The resulting candidate codewords can be tested in the same way as those
- generated by the probabilistic method described in Setcion 
+ generated by the probabilistic method described in Section 
 \begin_inset CommandInset ref
 LatexCommand ref
 reference "sec:The-decoding-algorithm"
@@ -1456,14 +1466,10 @@ For hinted decoding we again invoke a ratio threshold test, but in this
 \begin_inset Formula $r_{2}$
 \end_inset
 
- can be a more relaxed limit than the 
-\begin_inset Formula $r_{1}$
-\end_inset
-
- used in the FT algorithm.
- For the limited subset of messages that operator experience suggests to
+ can be a more relaxed limit than that used in the FT algorithm.
+ For the limited subset of messages suggested by operator experience to
  be likely, hinted decodes can be obtained at lower signal levels than required
- for those obtained from the full universe of 
+ for the full universe of 
 \begin_inset Formula $2^{72}$
 \end_inset
 
@@ -1511,9 +1517,9 @@ reference "sec:Appendix:SNR"
 \end_inset
 
 .
- Examples of both presentations are included in the following discussion,
+ Examples of both types of plot are included in the following discussion,
  where we describe simulations carried out to compare performance of FT
- with other algorithms, and with theoretical expectations.
+ with other algorithms and with theoretical expectations.
  We have also used simulations to establish suitable default values for
  the acceptance parameters 
 \begin_inset Formula $X_{0},$
@@ -1599,7 +1605,7 @@ As expected, the soft-decision algorithms, FT and KV, are about 2 dB better
 \begin_inset Formula $T=10^{5}$
 \end_inset
 
- is small enough to be practical on most of today's home computers.
+ is small enough to be practical on today's home computers.
  
 \end_layout
 
@@ -1631,9 +1637,17 @@ Word error rates as a function of
 \end_inset
 
  the signal-to-noise ratio per information bit.
- Theory: theoretical prediction for the hard-decision BM decoder.
- The remaining curves represent simulation results on an AWGN channel for
- the BM, KV, and FT decoders.
+ The curve labeled 
+\begin_inset Quotes eld
+\end_inset
+
+Theory
+\begin_inset Quotes erd
+\end_inset
+
+ shows a theoretical prediction for the hard-decision BM decoder.
+ Remaining curves represent simulation results on an AWGN channel for the
+ BM, KV, and FT decoders.
  The KV algorithm was executed with complexity coefficient 
 \begin_inset Formula $\lambda=15$
 \end_inset
@@ -1643,7 +1657,7 @@ Word error rates as a function of
 WSJT
 \emph default
  programs.
- The FT alrithm was run with timeout setting 
+ The FT algorithm used timeout setting 
 \begin_inset Formula $T=10^{5}.$
 \end_inset
 
@@ -1743,18 +1757,18 @@ name "fig:WER2"
 \end_inset
 
 Percent of JT65 messages copied as a function of SNR in 2500 Hz bandwidth.
- Solid lines with filled circles are results from the FT decoder; numbers
- adjacent to the curves specify values of the timeout parameter 
-\begin_inset Formula $T.$
+ Numbers adjacent to curves specify values of timeout parameter 
+\begin_inset Formula $T$
 \end_inset
 
- The dotted line with open squares is the KV decoder with complexity coefficient
- 
+ for the FT decoder.
+ Open circles and dotted line show results for the KV decoder with complexity
+ coefficient 
 \begin_inset Formula $\lambda=15$
 \end_inset
 
 .
- Results from the BM algorithm are shown with a dashed line and crosses.
+ Results for the BM algorithm are plotted with crosses and dashed line.
 \end_layout
 
 \end_inset
@@ -1768,12 +1782,12 @@ Percent of JT65 messages copied as a function of SNR in 2500 Hz bandwidth.
 \end_layout
 
 \begin_layout Standard
-Timeout parameter 
+Parameter 
 \begin_inset Formula $T$
 \end_inset
 
- is the maximum number of symbol-erasure trials allowed for a particular
- attempt at decoding a received word.
+ in the FT algorithm is the maximum number of symbol-erasure trials allowed
+ for a particular attempt at decoding a received word.
  Most successful decodes take only a small fraction of the maximum allowed
  number of trials.
  Figure 
@@ -1784,18 +1798,20 @@ reference "fig:N_vs_X"
 \end_inset
 
  shows the number of stochastic erasure trials required to find the correct
- codeword vs.
- the number of hard-decision errors in the received word, for a run with
- 1000 simulated transmissions at 
+ codeword as a function of 
+\begin_inset Formula $X,$
+\end_inset
+
+ the number of hard-decision errors in the received word.
+ This run used 1000 simulated transmissions at 
 \begin_inset Formula $\mathrm{SNR}=-24$
 \end_inset
 
- dB, just slightly above the decoding threshold.
- The timeout parameter was 
-\begin_inset Formula $T=10^{5}$
+ dB, just slightly above the decoding threshold, and the timeout parameter
+ was 
+\begin_inset Formula $T=10^{5}.$
 \end_inset
 
- for this run.
  No points are shown for 
 \begin_inset Formula $X\le25$
 \end_inset
@@ -1808,7 +1824,7 @@ reference "fig:N_vs_X"
 
 \end_inset
 
- shows that the FT algorithm decoded received words with as many as 
+ shows that the FT algorithm decodes received words with as many as 
 \begin_inset Formula $X=43$
 \end_inset
 
@@ -1910,8 +1926,18 @@ reference "fig:Psuccess"
 \end_layout
 
 \begin_layout Standard
-(*** A little more description is needed here, along with new data for the
- DS curves.***)
+It is interesting to note that while Rayleigh fading severely degrades the
+ success rate of the BM decoder, the penalties are much smaller with both
+ FT and hinted decoding.
+ Simulated Doppler spreads of 0.2 Hz actually increased the FT and DS decoding
+ rates slightly at SNRs close to the decosing threshold, presumably because
+ with the low-rate JT65 code signal peaks can be enough to produce good
+ copy.
+\end_layout
+
+\begin_layout Standard
+(*** New data will be used for the DS curves.
+ ***)
 \end_layout
 
 \begin_layout Standard
@@ -1955,8 +1981,16 @@ Deep Search
 
 ) algorithm.
  Numbers adjacent to the curves are the simulated Doppler spreads in Hz.
- The curve labeled Sync illustrates the dependence of proper time and frequency
- synchronization in the decoder presently implemented in 
+ The curve labeled 
+\begin_inset Quotes eld
+\end_inset
+
+Sync
+\begin_inset Quotes erd
+\end_inset
+
+ illustrates the rate of correct time and frequency synchronization in the
+ decoder presently implemented in program 
 \emph on
 WSJT-X
 \emph default
@@ -1982,6 +2016,55 @@ Summary
  Still to come ...
 \end_layout
 
+\begin_layout Standard
+Possible ideas: 
+\end_layout
+
+\begin_layout Standard
+Tie it in to 
+\emph on
+WSJT-X
+\emph default
+ and 
+\emph on
+MAP65
+\emph default
+.
+ 
+\end_layout
+
+\begin_layout Standard
+Mention two-pass decoding.
+\end_layout
+
+\begin_layout Standard
+Experience with FT on crowded HF bands.
+\end_layout
+
+\begin_layout Standard
+Maybe one screen shot, or partial screen shot of the 
+\begin_inset Quotes eld
+\end_inset
+
+Band Activity
+\begin_inset Quotes erd
+\end_inset
+
+ window?
+\end_layout
+
+\begin_layout Standard
+Some EME results needed! 
+\end_layout
+
+\begin_layout Standard
+Something about the code repository and how to build 
+\emph on
+WSJT-X 
+\emph default
+.
+\end_layout
+
 \begin_layout Bibliography
 \begin_inset CommandInset bibitem
 LatexCommand bibitem
@@ -1992,9 +2075,11 @@ key "kv2001"
 
 “Algebraic soft-decision decoding of Reed-Solomon codes,” R.
  Köetter and A.
- Vardy, IEEE Trans.
- Inform.
- Theory, Vol.
+ Vardy, 
+\emph on
+IEEE Transactions on Information Theory
+\emph default
+, Vol.
  49, Nov.
  2003.
 \end_layout
@@ -2003,13 +2088,32 @@ key "kv2001"
 \begin_inset CommandInset bibitem
 LatexCommand bibitem
 label "2"
+key "wsjt"
+
+\end_inset
+
+
+\emph on
+WSJT Home Page
+\emph default
+: http://www.physics.princeton.edu/pulsar/K1JT/.
+\end_layout
+
+\begin_layout Bibliography
+\begin_inset CommandInset bibitem
+LatexCommand bibitem
+label "3"
 key "lhmg2010"
 
 \end_inset
 
 "Stochastic Chase Decoding of Reed-Solomon Codes", Camille Leroux, Saied
  Hemati, Shie Mannor, Warren J.
- Gross, IEEE Communications Letters, Vol.
+ Gross, 
+\emph on
+IEEE Communications Letters
+\emph default
+, Vol.
  14, No.
  9, September 2010.
 \end_layout
@@ -2017,7 +2121,7 @@ key "lhmg2010"
 \begin_layout Bibliography
 \begin_inset CommandInset bibitem
 LatexCommand bibitem
-label "3"
+label "4"
 key "lk2008"
 
 \end_inset
@@ -2026,7 +2130,9 @@ key "lk2008"
  Decoding," Soo-Woong Lee and B.
  V.
  K.
- Vijaya Kumar, IEEE 
+ Vijaya Kumar, 
+\emph on
+IEEE 
 \begin_inset Quotes eld
 \end_inset
 
@@ -2034,25 +2140,31 @@ GLOBECOM
 \begin_inset Quotes erd
 \end_inset
 
- 2008 proceedings.
-\end_layout
-
-\begin_layout Bibliography
-\begin_inset CommandInset bibitem
-LatexCommand bibitem
-label "4"
-key "lc2004"
-
-\end_inset
-
-Error Control Coding, 2nd edition, Shu Lin and Daniel J.
- Costello, Pearson-Prentice Hall, 2004.
+ 2008 proceedings
+\emph default
+.
 \end_layout
 
 \begin_layout Bibliography
 \begin_inset CommandInset bibitem
 LatexCommand bibitem
 label "5"
+key "lc2004"
+
+\end_inset
+
+
+\emph on
+Error Control Coding, 2nd Edition
+\emph default
+, Shu Lin and Daniel J.
+ Costello, Pearson-Prentice Hall, 2004.
+\end_layout
+
+\begin_layout Bibliography
+\begin_inset CommandInset bibitem
+LatexCommand bibitem
+label "6"
 key "ls2009"
 
 \end_inset
@@ -2066,7 +2178,11 @@ Stochastic Erasure-Only List Decoding Algorithms for Reed-Solomon Codes,
 \end_inset
 
  Chang-Ming Lee and Yu T.
- Su, IEEE Signal Processing Letters, Vol.
+ Su, 
+\emph on
+IEEE Signal Processing Letters,
+\emph default
+ Vol.
  16, No.
  8, August 2009.
 \end_layout
@@ -2074,12 +2190,12 @@ Stochastic Erasure-Only List Decoding Algorithms for Reed-Solomon Codes,
 \begin_layout Bibliography
 \begin_inset CommandInset bibitem
 LatexCommand bibitem
-label "6"
+label "7"
 key "karn"
 
 \end_inset
 
-Berlekamp-Massey decoder written by Phil Karn, http://www.ka9q.net/code/fec/
+Berlekamp-Massey decoder written by Phil Karn, KA9Q: http://www.ka9q.net/code/fec/
 \end_layout
 
 \begin_layout Section
@@ -2202,9 +2318,9 @@ reference "eq:Eb_Es"
 
 :
 \begin_inset Formula 
-\[
-\mathrm{SNR}_{2500}=1.23\times10^{-3}\frac{E_{b}}{N_{o}}.
-\]
+\begin{equation}
+\mathrm{SNR}_{2500}=1.23\times10^{-3}\frac{E_{b}}{N_{o}}.\label{eq:SNR2500}
+\end{equation}
 
 \end_inset
 
@@ -2213,9 +2329,9 @@ If all quantities are expressed in dB, then:
 
 \begin_layout Standard
 \begin_inset Formula 
-\[
-\mathrm{SNR}_{2500}=(E_{b}/N_{o})_{\mathrm{dB}}-29.1\,\mathrm{dB}.
-\]
+\begin{equation}
+\mathrm{SNR}_{2500}=(E_{b}/N_{o})_{\mathrm{dB}}-29.1\,\mathrm{dB}=(E_{s}/N_{0})_{\mathrm{dB}}-29.7\,\mathrm{dB}.\label{eq:SNR_all_types}
+\end{equation}
 
 \end_inset