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-rw-r--r--fir_window_hamming.awk5
-rw-r--r--kalman_init.awk4
-rw-r--r--ludcmp.awk6
-rw-r--r--mean_avg.awk2
4 files changed, 10 insertions, 7 deletions
diff --git a/fir_window_hamming.awk b/fir_window_hamming.awk
index 5660754..51eb0d8 100644
--- a/fir_window_hamming.awk
+++ b/fir_window_hamming.awk
@@ -5,6 +5,9 @@
# R.W. Hamming, 'Digital Filters': H = '0.23 0.54 0.23'
# https://en.wikipedia.org/wiki/Window_function provides a few values for the
# 'a0' and 'a1' parameters of the raised cosine.
+# note: the forms provided from wikipedia do not give expected results and
+# appear to show inconsistency between raised cosine variations. need to
+# cross-check these forms against DSP/signaling texts.
# Hamming window (raised cosine)
@@ -26,7 +29,7 @@ BEGIN {
# window interval goes from -M to M
M = 0.5*(N - 1)
- pi = 4*atan2(1,1)
+ pi = 4.0*atan2(1.0,1.0)
for (n=-M; n<=M; n++) {
if (N > 1 && M > 0) {
diff --git a/kalman_init.awk b/kalman_init.awk
index 757d80b..fae1501 100644
--- a/kalman_init.awk
+++ b/kalman_init.awk
@@ -27,7 +27,7 @@ NF > 0 {
(NF > nf_max) ? nf_max = NF : nf_max = nf_max
# columns
- for (n=1; n<=max_nf; n++) {
+ for (n=1; n<=nf_max; n++) {
if ($n ~ number) {
count[n] = ($n ~ number) + (last[n] ~ number) + (last2[n] ~ number)
diff[n] = $n - last[n]
@@ -46,7 +46,7 @@ NF > 0 {
}
# error covariance
- for (m=1; m<=max_nf; m++) {
+ for (m=1; m<=nf_max; m++) {
count[m,n]++
sum_xy[m,n] += 1
delta_xy[m,n] = delta[m]*delta[n]
diff --git a/ludcmp.awk b/ludcmp.awk
index 8097263..3c03c55 100644
--- a/ludcmp.awk
+++ b/ludcmp.awk
@@ -66,13 +66,13 @@ NR == 1 {
# read input data
NF {
- if (NF > max_nf)
+ if (NF > nf_max)
(NF > nf_max) ? nf_max = NF : nf_max = nf_max
for (n=1; n<=NF; n++) {
if ($n ~ number) {
count[n] += 1
- (count[n] == 1 || max_nf > size) ? size = max_nf : size = size
+ (count[n] == 1 || nf_max > size) ? size = nf_max : size = size
(count[n] == 1 || count[n] > size) ? size = count[n] : size = size
matrix[count[n],n] = $n
print(matrix[count[n],n])
@@ -83,7 +83,7 @@ NF {
END {
printf(ORS)
- print(NR, max_nf, size)
+ print(NR, nf_max, size)
printf(ORS)
lu_decomp(matrix, size)
}
diff --git a/mean_avg.awk b/mean_avg.awk
index 05c93f1..bf40b43 100644
--- a/mean_avg.awk
+++ b/mean_avg.awk
@@ -46,7 +46,7 @@ NF > 0 {
END {
print "col", "mean", "std_err", "std_dev", "range", "min", "max", "total", "count"
- for (n=1; n<=max_nf; n++) {
+ for (n=1; n<=nf_max; n++) {
if (header[n])
print header[n], mean[n], sqrt(var[n]/count[n]), sqrt(var[n]), range[n], min[n], max[n], mean[n]*count[n], count[n]
else