Matteo Battilana MatteoBattilana

## main.cu
#include <stdio.h>
#include <unistd.h>
#include <fcntl.h>
#include <stdint.h>
#include <sys/stat.h>
#include <stdlib.h>
#include <string.h>
#include <time.h>

struct rgb_s {

## main.cu
#include <stdio.h>
#include <unistd.h>
#include <fcntl.h>
#include <stdint.h>
#include <sys/stat.h>
#include <stdlib.h>
#include <string.h>

struct rgb_s {
    uint8_t red;

## README.md

      
        
          
            
              
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                MatteoBattilana
                / README.md
            
            
              Last active
              March 11, 2022 10:09
            
              
                Robust peak detection algorithm (using z-scores), modified to split up the initialization and the computational part.
              
          
        
      
        
  
      
    This is a Python implementation of the Robust peak detection algorithm.
The initialization and the computational parts are split up, only the filtered_y array has been kept, that has a maximum size equals to lag, so there is no memory increase. (Results are the same of above answers).
In order to plot the graph, also the labels array is kept.
	#include <stdio.h>
	#include <unistd.h>
	#include <fcntl.h>
	#include <stdint.h>
	#include <sys/stat.h>
	#include <stdlib.h>
	#include <string.h>
	#include <time.h>

	struct rgb_s {