photo

Mohab Mostafa


Last seen: 4 years 前 |  自 2015 起处于活动状态

Followers: 0   Following: 0

统计学

  • Thankful Level 3

查看徽章

Feeds

排序方式:

提问


How can i create N copies of a vector based on nonzero values in that vector?
I have a vector 1x5 which contain NZ nonzero values, what can i do if i want to create N copies of that vector such that each co...

9 years 前 | 2 个回答 | 0

2

个回答

提问


Vector Quantization using partition and codebook
I have a vector range from -64 to 64, how can I quantize that vector using partition and codebook ?

9 years 前 | 0 个回答 | 0

0

个回答

提问


Bernoulli sensing matrix for compressed sensing using matlab
I am trying to implement compressed sensing in matlab, also trying different types of sensing matrix (Gaussian, Bernoulli, Fouri...

9 years 前 | 0 个回答 | 0

0

个回答

提问


How to create a random Bernoulli matrix ?
I want to create a 256x256 random Bernoulli matrix, how to do that in matlab ?

9 years 前 | 3 个回答 | 0

3

个回答

提问


bit-stream encryption using AES
I am trying to encrypt binary vector using AES encryption in matlab, the problem is that I want the output to be binary vector a...

9 years 前 | 1 个回答 | 0

1

个回答

提问


What are the options for encrypting bit-stream ?
I have a bit-stream file and i want to encrypt it, what are the options for encrypting it ?

9 years 前 | 0 个回答 | 0

0

个回答

提问


How to encode orthogonal matrix using Huffman?
I have orthogonal matrix and I want to encode it using Huffman but apparently it takes ages and may not succeed, I don't want to...

9 years 前 | 0 个回答 | 0

0

个回答

提问


How to obtain the actual size of a variable in bits ?
I need to know how to find the actual size in bits for a variable or matrix inside matlab

9 years 前 | 1 个回答 | 0

1

个回答

提问


How to calculate image compression ratio?
After doing some processing on the image, say DCT and Quantization, how can I calculate the compression ratio between the compre...

9 years 前 | 2 个回答 | 0

2

个回答

提问


How to reduce grayscale levels ?
I have an RGB image, converted it into Grayscale image X = imread('lena.bmp'); Y = rgb2gray(X); now the image is represented ...

9 years 前 | 1 个回答 | 1

1

个回答