Meta-analysis (Wikipedia)
Meta-analysis (ScienceDirect)
整合分析 Meta-Analysis (國家教育研究院)
臨床醫師如何閱讀統合分析(Meta-analysis)的論文
童年經驗(1) 長大就好!? 42:20-43:15 (GoodTV 幸福學堂 錢玉芬)
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
相關資訊~生醫工程:StudyBME
聽力科技相關資訊:電子耳資訊小站
iOS程式語言:Study Swift
樹莓派和Python:Study Raspberry Pi
2018/07/04
2018/06/28
Vector Spaces 向量空間
2D Vector Space
vector v = (x, y) or (v1, v2)
3D Vector Space
vector v = (x, y, z) or (v1, v2, v3)
References
Vector Space (Wikipedia)
What is a Vector Space? (Video)
vector v = (x, y) or (v1, v2)
3D Vector Space
vector v = (x, y, z) or (v1, v2, v3)
N-Dimensional Vector Space
vector v = (v1, v2, v3, ..., vN)
References
Vector Space (Wikipedia)
What is a Vector Space? (Video)
2018/06/16
Matlab: Plot discrete sequence data with STEM() 繪製離散序列資料
To plot discrete sequence data in Matlab, use the stem() function:
Example:
For y = e-x + 1 with x between -2 and 2, plot the continuous y curve and discrete stem diagram.
Result:
References:
stem - plot discrete sequence data (MathWorks)
Matlab: Unit Impulse δ[n] 單位脈衝函數
Example:
For y = e-x + 1 with x between -2 and 2, plot the continuous y curve and discrete stem diagram.
x = -2:0.1:2;
y = exp(-x)+1;
subplot(211);
plot(x,y);
xlabel('x');ylabel('y');title('y = exp(-x)+1');
subplot(212);
stem(x,y);
xlabel('x');ylabel('y');title('discrete x');
Result:
References:
stem - plot discrete sequence data (MathWorks)
Matlab: Unit Impulse δ[n] 單位脈衝函數
2018/06/15
Matlab: Resample 重新取樣
To change the sample rate of an audio signal with Matlab, use the resample function:
load mtlb;
sound(mtlb,Fs);
pause(1); %Wait until the sound is finished
Fs_new = 16e3; %change the sample rate to 16000
[P,Q] = rat(Fs_new/Fs);
y = resample(mtlb,P,Q);
sound(y,Fs_new);
Reference
Changing Signal Sample Rate (MathWorks)
load mtlb;
sound(mtlb,Fs);
pause(1); %Wait until the sound is finished
Fs_new = 16e3; %change the sample rate to 16000
[P,Q] = rat(Fs_new/Fs);
y = resample(mtlb,P,Q);
sound(y,Fs_new);
Reference
Changing Signal Sample Rate (MathWorks)
2018/06/11
Floating-Point
IEEE 754-1985, 754-2008
IEEE single-precision standard (binary32) - 32 bits
IEEE double-precision standard (binary64) - 64 bits
single-recision (binary32) -
1 bit - sign (S)
8 bits - exponention (E)
23 bits - mantissa (M)
Number = (-1)S×1.M×E-127
Reference:
Tutorial: Floating-Point Binary
Floating point ALU using VHDL implemented on FPGA
Single-precision floating-point format (Wikipedia)
Double-precision floating-point format (Wikipedia)
IEEE single-precision standard (binary32) - 32 bits
IEEE double-precision standard (binary64) - 64 bits
single-recision (binary32) -
1 bit - sign (S)
8 bits - exponention (E)
23 bits - mantissa (M)
Number = (-1)S×1.M×E-127
Reference:
Tutorial: Floating-Point Binary
Floating point ALU using VHDL implemented on FPGA
Single-precision floating-point format (Wikipedia)
Double-precision floating-point format (Wikipedia)
Two's complement
For representing +ve and -ve numbers.
The most significant bit (leftmost) bit:
0 => 0 or positive
1 => negative
e.g. 01110000 => +ve
e.g. 11110000 => -ve
If the left most bit = 0,
01110000 = 2^6+2^5+2^4 = 64+32+16 = 112
If the left most bit = 1, invert every remaining bit and add 1.
11110000 => 0001111 + 1 => 0010000 => -16
Reference:
Two's complement (Wikipedia)
The most significant bit (leftmost) bit:
0 => 0 or positive
1 => negative
e.g. 01110000 => +ve
e.g. 11110000 => -ve
If the left most bit = 0,
01110000 = 2^6+2^5+2^4 = 64+32+16 = 112
If the left most bit = 1, invert every remaining bit and add 1.
11110000 => 0001111 + 1 => 0010000 => -16
Reference:
Two's complement (Wikipedia)
2018/06/07
Matlab: Real and imaginary parts of complex number and multiplication with imaginary unit j
For a complex number x = 1 + 2i or x = 1 + 2j
Matlab commands for real part - real(x)
Matlab commands for imaginary part - imag(x)
Example:
>> x = 1 + 2j
x =
1.0000 + 2.0000i
>> real(x)
ans =
1
>> imag(x)
ans =
2
>>
To multiply x with an imaginary unit i or -i, simply swap the real part with the imaginary part and add a negative sign.
Example:
Result:
x =
1.0000 + 2.0000i
ans =
-2.0000 + 1.0000i
ans =
2.0000 - 1.0000i
Related Information:
Complex numbers - simple calculations (StudySwift - iOS)
Matlab commands for real part - real(x)
Matlab commands for imaginary part - imag(x)
Example:
>> x = 1 + 2j
x =
1.0000 + 2.0000i
>> real(x)
ans =
1
>> imag(x)
ans =
2
>>
To multiply x with an imaginary unit i or -i, simply swap the real part with the imaginary part and add a negative sign.
Example:
x = 1 + 2j
mult_pos_j(x)
mult_neg_j(x)
function result = mult_pos_j(x)
% x = a + bj
% x(j) = aj - b = -b + aj
result = -imag(x) + real(x)*j;
end
function result = mult_neg_j(x)
% x = a + bj
% x(-j) = -aj + b = b - aj
result = imag(x) - real(x)*j;
end
Result:
x =
1.0000 + 2.0000i
ans =
-2.0000 + 1.0000i
ans =
2.0000 - 1.0000i
Related Information:
Complex numbers - simple calculations (StudySwift - iOS)
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