Find average average value of data

Hello,

I have this code, I want it to do a single run, in a way that it the code exucte the value for each row independently.

clear

x=[
    -81.12	-78.91	-73.64	-79.26	-155.66
    % -81.19	-79.08	-79.17	-86.1	-155.69
    % -79.76	-79.29	-79.18	-85.93	-155.66
    % -79.81	-79.36	-78.9	-85.69	-155.7
    % -80.06	-79.38	-78.35	-86.08	-149.37
    % -79.84	-79.39	-79.32	-86.26	-149.39
    % -80.76	-79.37	-79.39	-86.59	-149.33
    % -80.82	-79.35	-79.6	-86.62	-149.21
    % -79.85	-79.38	-79.15	-86.7	-148.51
    % -79.94	-79.35	-79.14	-87.54	-148.38
    % -85.64	-79.39	-79.28	-87.38	-149.05
    % -85.28	-79.37	-79.25	-87.36	-157.36
    % -85.07	-79.31	-79.12	-87.32	-157.9
    % -84.82	-79.32	-78.14	-87.08	-157.64
    % -84.63	-79.32	-78.66	-87.01	-157.77
    % -84.65	-79.38	-78.62	-87.06	-157.89
    % -84.5	-79.4	-78.61	-86.41	-157.84
    % -84.52	-79.49	-78.65	-86.45	-157.18
    % -84.44	-79.56	-78.74	-86.39	-157.24
    % -84.46	-79.35	-78.86	-86.59	-157.38
    % -84.45	-79.49	-78.4	-86.69	-154.74
    % -84.5	-79.49	-79.38	-86.71	-155.95
    % -84.69	-84.67	-79.08	-87.02	-156.12
    % -84.75	-84.46	-79.52	-87.12	-156.19
    % -84.82	-83.75	-79.52	-87.43	-156.43
    % -84.89	-83.78	-79.61	-87.61	-156.22
    % -85.2	-83.93	-103.65	-106.35	-156.39
    % -85.23	-83.93	-103.78	-106.49	-155.31
    % -85.45	-84	-106.8	-134.02	-156.11
    % -85.65	-84.06	-106.76	-134.03	-156.2
    % -85.29	-84.07	-106.73	-134.02	-156.28
    % -85.52	-84.13	-149.52	-134.64	-156.3
    % -85.41	-84.05	-150.07	-134.84	-118.03
    % -85.33	-83.97	-150.61	-133.6	-115.95
    % -85.41	-84.1	-151.85	-133.58	-120.51
    % -84.94	-83.24	-152.24	-133.71	-120.52
    % -84.24	-84.24	-152.28	-133.67	-114.39
    % -84.85	-84.19	-152.17	-133.7	-104.43
    % -84.87	-83.2	-152.49	-133.63	-104.4
    % -84.85	-84.02	-152.57	-133.54	-105.27
    % -85.05	-83.98	-152.88	-133.44	-105.98
    % -84.94	-83.92	-131.47	-131.92	-106.36
    % -83.66	-83.95	-131.34	-132.6	-107.98
    % -84.47	-83.87	-132.56	-132.56	-108.02
    % -84.49	-114.44	-124.85	-129.22	-112.34
    % -84.8	-114.85	-124.7	-127.46	-117.68
    % -84.9	-114.94	-123.91	-127.12	-125.7
    % -84.03	-128.46	-124.04	-126.78	-125.14
    % -83.89	-128.54	-124.33	-127.01	-116.16
    % -83.4	-128.47	-124.55	-127.11	-116.17
    % -83.5	-128.47	-124.97	-127.18	-116.99
    % -83.49	-128.51	-125.3	-126.54	-117.9
    % -83.8	-128.43	-125.03	-127.11	-117.82
    % -83.67	-128.74	-124.9	-127.06	-151.93
    % -83.3	-128.79	-124.69	-127.36	-151.98
    
    ];
xx=x/10;
X=10.^xx;
RSS=10*log10(mean(X))

Answer 1

[Star Strider]

To get the mean of each row, calculate the mean across dimension 2 (column size) —

x=[ -81.12	-78.91	-73.64	-79.26	-155.66
    -81.19	-79.08	-79.17	-86.1	-155.69
    -79.76	-79.29	-79.18	-85.93	-155.66
    -79.81	-79.36	-78.9	-85.69	-155.7
    -80.06	-79.38	-78.35	-86.08	-149.37
    -79.84	-79.39	-79.32	-86.26	-149.39
    -80.76	-79.37	-79.39	-86.59	-149.33
    -80.82	-79.35	-79.6	-86.62	-149.21
    -79.85	-79.38	-79.15	-86.7	-148.51
    -79.94	-79.35	-79.14	-87.54	-148.38
    -85.64	-79.39	-79.28	-87.38	-149.05
    -85.28	-79.37	-79.25	-87.36	-157.36
    -85.07	-79.31	-79.12	-87.32	-157.9
    -84.82	-79.32	-78.14	-87.08	-157.64
    -84.63	-79.32	-78.66	-87.01	-157.77
    -84.65	-79.38	-78.62	-87.06	-157.89
    -84.5	-79.4	-78.61	-86.41	-157.84
    -84.52	-79.49	-78.65	-86.45	-157.18
    -84.44	-79.56	-78.74	-86.39	-157.24
    -84.46	-79.35	-78.86	-86.59	-157.38
    -84.45	-79.49	-78.4	-86.69	-154.74
    -84.5	-79.49	-79.38	-86.71	-155.95
    -84.69	-84.67	-79.08	-87.02	-156.12
    -84.75	-84.46	-79.52	-87.12	-156.19
    -84.82	-83.75	-79.52	-87.43	-156.43
    -84.89	-83.78	-79.61	-87.61	-156.22
    -85.2	-83.93	-103.65	-106.35	-156.39
    -85.23	-83.93	-103.78	-106.49	-155.31
    -85.45	-84	-106.8	-134.02	-156.11
    -85.65	-84.06	-106.76	-134.03	-156.2
    -85.29	-84.07	-106.73	-134.02	-156.28
    -85.52	-84.13	-149.52	-134.64	-156.3
    -85.41	-84.05	-150.07	-134.84	-118.03
    -85.33	-83.97	-150.61	-133.6	-115.95
    -85.41	-84.1	-151.85	-133.58	-120.51
    -84.94	-83.24	-152.24	-133.71	-120.52
    -84.24	-84.24	-152.28	-133.67	-114.39
    -84.85	-84.19	-152.17	-133.7	-104.43
    -84.87	-83.2	-152.49	-133.63	-104.4
    -84.85	-84.02	-152.57	-133.54	-105.27
    -85.05	-83.98	-152.88	-133.44	-105.98
    -84.94	-83.92	-131.47	-131.92	-106.36
    -83.66	-83.95	-131.34	-132.6	-107.98
    -84.47	-83.87	-132.56	-132.56	-108.02
    -84.49	-114.44	-124.85	-129.22	-112.34
    -84.8	-114.85	-124.7	-127.46	-117.68
    -84.9	-114.94	-123.91	-127.12	-125.7
    -84.03	-128.46	-124.04	-126.78	-125.14
    -83.89	-128.54	-124.33	-127.01	-116.16
    -83.4	-128.47	-124.55	-127.11	-116.17
    -83.5	-128.47	-124.97	-127.18	-116.99
    -83.49	-128.51	-125.3	-126.54	-117.9
    -83.8	-128.43	-125.03	-127.11	-117.82
    -83.67	-128.74	-124.9	-127.06	-151.93
    -83.3	-128.79	-124.69	-127.36	-151.98];

xx=x/10;
X=10.^xx;
RSS=10*log10(mean(X,2));

RSS_size = size(RSS)

RSS_size = 1×2

55 1

<mw-icon class=""></mw-icon>

<mw-icon class=""></mw-icon>

disp(RSS)

  -78.1994
  -81.6086
  -81.3106
  -81.2361
  -81.1368
  -81.4334
  -81.7190
  -81.7998
  -81.4043
  -81.4624
  -82.5386
  -82.4799
  -82.3757
  -81.8982
  -82.1122
  -82.1225
  -82.0639
  -82.1200
  -82.1716
  -82.1624
  -82.0159
  -82.4471
  -83.7358
  -83.9707
  -83.8745
  -83.9567
  -88.4576
  -88.4715
  -88.6309
  -88.7483
  -88.6033
  -88.7490
  -88.6554
  -88.5748
  -88.6846
  -87.9862
  -88.2173
  -88.4648
  -87.9150
  -88.3768
  -88.4461
  -88.3656
  -87.7736
  -88.1301
  -91.4677
  -91.7825
  -91.8842
  -91.0185
  -90.8764
  -90.3868
  -90.4871
  -90.4775
  -90.7873
  -90.6590
  -90.2891

The default behaviour is to calculate the mean or each column (equivalent to mean(X,1)).

.

EDIT — Corrected typographical errors.

.