complex number 複數
complex plane 複數平面
real part 實部
imaginary part 虛部
z = a + bi
Re(z) = a
Im(z) = b
i2 = -1
-i = 1/i proof: -i = -i × i/i = -i2/i =-(-1)/i = 1/i
∠z = tan-1(Im(z)/Re(z)) = tan-1(Ib/a)
z = r∠θ
r is modulus 模數 / magnitude 量值/大小
θ is argument 幅角/引數 / phase 相位/相角
r = |z|
argument 幅角
phase 相位/相角
in-phase 同相位
out-of-phase 不同相位
For Acos(ax + b), phase is b. and amplitude is A.
radian 徑度/弧度
phasor 相量
ejx = cosx + isinx = cisx (Euler's formula)
complex conjugate 共軛複數
if z = a + bi,
the complex conjugate of z is
z_bar or z* = a - bi
Re(z*) = Re(z) = a
Im(z*) = -Im(z) = -b
To get z*, simply flip z around x-axis.
|z| = | a + bi | = √(a2 + b2)
|z|2 = |a + bi|2 = a2 + b2 = (a + bi )(a - bi ) = (z)(z*)
Matlab: conj()
>> z = 1 + 2i
z =
1.0000 + 2.0000i
>> z_conj = conj(z)
z_conj =
1.0000 - 2.0000i
conjugate transpose 共軛轉置
相關資料
Euler's formula
Information about Electrical, Electronic, Communication and Computer Engineering 電機、電子、通訊、電腦資訊工程的學習筆記
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2016/10/18
2016/10/07
Matlab: Vector, Matrix, Array and Row/Column Vector
In Matlab,
vector = one-dimensional array
matrix = two-dimensional array
The example below shows the difference between a row vector and a column vector:
>> x = 1:7
x =
1 2 3 4 5 6 7
>> y = x'
y =
1
2
3
4
5
6
7
where
x is a row vector.
y is a column vector.
vector = one-dimensional array
matrix = two-dimensional array
The example below shows the difference between a row vector and a column vector:
>> x = 1:7
x =
1 2 3 4 5 6 7
>> y = x'
y =
1
2
3
4
5
6
7
where
x is a row vector.
y is a column vector.
Matlab: Submatrix/Subvector
A. The example below shows how to:
1. Define a vector with incrementing integers.
2. Define a second vector (subvector) which is formed from partial elements of the first vector.
>> a = 1:10
a =
1 2 3 4 5 6 7 8 9 10
>> b = a(5:7)
b =
5 6 7
B. The example below shows how to get a submatrix from an existing matrix:
c =
1 2 3
4 5 6
7 8 9
>> d = c(2:3,2:3)
d =
5 6
8 9
C. Divide all elements of a vector by an integer:
>> e = a/2
e =
0.5000 1.0000 1.5000 2.0000 2.5000 3.0000 3.5000 4.0000 4.5000 5.0000
1. Define a vector with incrementing integers.
2. Define a second vector (subvector) which is formed from partial elements of the first vector.
>> a = 1:10
a =
1 2 3 4 5 6 7 8 9 10
>> b = a(5:7)
b =
5 6 7
B. The example below shows how to get a submatrix from an existing matrix:
c =
1 2 3
4 5 6
7 8 9
>> d = c(2:3,2:3)
d =
5 6
8 9
C. Divide all elements of a vector by an integer:
>> e = a/2
e =
0.5000 1.0000 1.5000 2.0000 2.5000 3.0000 3.5000 4.0000 4.5000 5.0000
C語言:檢查字元是否為英文字母 - isalpha()
To use function isalpha(), call
#include <ctype.h>
char ch;
...
if (isalpha(ch)) {
//ch is an alphabet
} else {
//ch is not an alphbet
}
#include <ctype.h>
char ch;
...
if (isalpha(ch)) {
//ch is an alphabet
} else {
//ch is not an alphbet
}
Matlab: 儲存變數於MAT檔案中 Store Variables in MAT-files
PC
To store Matlab variables, select:
File -> Save Workspace As -> *.mat
To retrieve variables stored in a MAT-file, select:
File -> Open -> *.mat
Mac
Click the "Save Workspace" button or press the hotkey:
[command] + [s]
To store Matlab variables, select:
File -> Save Workspace As -> *.mat
To retrieve variables stored in a MAT-file, select:
File -> Open -> *.mat
Mac
Click the "Save Workspace" button or press the hotkey:
[command] + [s]
Matlab: 檢查是否已安裝工具箱 Check if Matlab Image Processing Toolbox already Installed
To check whether the Image Processing Toolbox has already been installed in Matlab, simply type:
help images
help images
Companding 壓擴/壓伸
companding 壓擴/壓伸 = compressing 壓縮 + expanding 擴展
companded quantization = compressor + uniform quantizer 均勻量化 + expander
where
compressor 和 expander 的功能相反
目的:
當dynamic range有限時,透過先壓縮再還原,以減輕失真
在電話等語音通訊中,fricative擦音/磨擦音會因能量較低而無法被有效地量化
透過companding,可使這些語音細節得到較妥善地量化,進而有較好的效果
Companding algorithms of the G.711 ITU-T standard:
μ-law - USA/Japan - 動態範圍(dynamic range)較大,訊號弱時失真(distortion)較大
A-law - Europe - 訊號弱時音質較好
G.711支援A-law以及μ-law兩種編碼方式
Reference
Difference Between A-law and u-Law
G.711 (維基百科)
companded quantization = compressor + uniform quantizer 均勻量化 + expander
where
compressor 和 expander 的功能相反
目的:
當dynamic range有限時,透過先壓縮再還原,以減輕失真
在電話等語音通訊中,fricative擦音/磨擦音會因能量較低而無法被有效地量化
透過companding,可使這些語音細節得到較妥善地量化,進而有較好的效果
Companding algorithms of the G.711 ITU-T standard:
μ-law - USA/Japan - 動態範圍(dynamic range)較大,訊號弱時失真(distortion)較大
A-law - Europe - 訊號弱時音質較好
G.711支援A-law以及μ-law兩種編碼方式
Reference
Difference Between A-law and u-Law
G.711 (維基百科)
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