The invention discloses a method for rapidly and automatically extracting train pulse signals. By the adoption of the method, a single pulse can be accurately extracted from radar signals, frequency hopping signals and other communication signals in a continuous pulse train. The basic process for extracting pulses includes the steps that firstly, with the combination of various methods for analyzing the single pulse, smooth processing is conducted on signals; then, the width and the turn-off time of the pulses are detected, the downsampling scale is set, and secondary smooth filtering is conducted; the filtering scale is adjusted by detecting transition point segmentation pulses according to the right and wrong segmentation result, and secondary segmentation is conducted until segmentation is correct. By the adoption of the method, the single pulse can be quickly extracted from the continuous pulse train, threshold values are not needed for conducting threshold judgment, pulse position misjudgment caused by improper threshold value selection is avoided, the method for extracting the signal pulse is simple, and the amount of calculation is reduced.

Method for rapidly and automatically extracting train pulse signals

The invention relates to a data compression method, a restoration method, a device and a system The compression method comprises steps: first digital signals are acquired; the first digital signals are subjected to downsampling processing, and first compression signals are acquired, wherein the sample frequency of the first compression signals is no less than the frequency threshold value and the frequency threshold value is twice the base band cut-off frequency of the first digital signals; the first compression signals are sent through a transformat based on the common public radio interface (CPRI) protocol Because the data is subjected to down-conversion before being transmitted through the CPRI protocol, the reduction of data volume transmitted on the CPRI is achieved, and the data transmission efficiency is raised, or the number of RRU or BBU which can be supported on unit CPRI is increased

Data compression method, restoration method, device and system

The invention provides a signal processing method and device The signal processing method comprises the steps that firstly, sampling is conducted on original echo signals in the low-frequency sampling way, a sampling result is processed correspondingly so that an echo curve can be obtained, and then effective echo signals in the original echo signals are positioned roughly; high-frequency sampling is conducted on the effective echo signals according to location information obtained through rough positioning, and then real effective echo signals are obtained According to the signal processing method and device, high-frequency sampling is conducted on the effective echo signals instead of being conducted on all the original echo signals, as a result, the resolution ratio of a radar level meter is guaranteed, and data processing speed of the radar level meter is improved

Signal processing method and device

The invention relates to a file processing method and device. The method comprises the following steps: obtaining a sound file, and slicing the sound file to divide the sound file into different sub-files; resampling all sub-files by different sampling rates to generate the sub-files of different sampling rates; and binding the sub-files with different sampling rates according to a program calling sequence to form a related group. The system volume and memory occupation of single sound file can be reduced through the differentiation sampling rate of the single sound file.

File processing method and device

The invention discloses a general radar pulse signal extraction method based on index differences. The method comprises the steps of: setting a smallest pulse width Tp and a smallest pulse interval T[delta] which can be detected; obtaining an incoming signal noise threshold [gamma]0; extracting an index number sequence of incoming signal samples larger than [gamma]0 in amplitude, and recording the index number sequence as I1(n), wherein n=1, 2, ..., N, and N is the sample number of I1(n); carrying out difference processing on I1(n), extracting index numbers of the samples whose difference results are larger than the smallest pulse interval T[delta] as a preselected pulse rising edge; turning an input signal sequence S over, obtaining a sequence S', extracting an S' index number sequence larger than smallest pulse interval T[delta], and recording the S' index number sequence as I2(n'), wherein n'= n=1, 2, ..., N', and N'= N; carrying out difference processing on I2(n'), extracting index numbers of the samples whose difference results are larger than the smallest pulse interval T[delta], calculating the corresponding index numbers of signal sequence before the turning, and using the corresponding index numbers as a preselected pulse falling edge; forming preselected pulses by the rising edge and the falling edge; and removing the pulses whose widths are smaller than smallest pulse width from the preselected pulses, and obtaining the extracted pulses. By adopting the method, the rising edge and the falling edge of pulse signals in any modulation mode can be rapidly and effectively extracted.

General radar pulse signal extraction method based on index differences

The invention provides an adaptive resampling-based radar signal compression method, which comprises the following steps: (1) segmenting radar signals, and reasonably determining the length of each segment of radar signals according to the requirements on a radar signal compression ratio and a processing speed; (2) performing spectrum analysis on each segment of radar signals, determining a resampling ratio of each segment of radar signals through analysis and determining the radar signal compression ratio; (3) resampling the radar signals according to new sampling frequency to compress the radar signals; and (4) reconstructing the radar signals as required, namely performing zero interpolation on the radar signals, recovering the compressed signals to the original length, and reconstructing the signals through filtration by a low pass filter of which the limiting frequency is half of the signal resampling frequency. In the method, signals in different time intervals are compressed respectively, the sampling frequency is reduced and a problem of overhigh sampling frequency when the radar signals are acquired is solved.

Adaptive resampling-based radar signal compression method

The invention discloses a method for extracting radar pulse based on self-adaption threshold value, comprising the following steps: (1) extracting enveloping for radar signals; (2) carrying out smoothing filtering on radar enveloping; (3) carrying out K-means clustering on the obtained enveloping amplitude in step (2) according to the existing K-means algorithm to obtain two clustering centers ofthe radar enveloping amplitude, taking mean value of the two clustering centers as the optimal threshold value, dividing the signals into pulse signals and noise part according to the optimal threshold value, thus obtaining initial positions and end positions of all pulses; (4) carrying out compression or expansion adjustment on the positions of the pulses according to the initial positions and end positions of the pulses obtained in steps (3), setting adjustment length according to needs or adopting default value as the adjustment length, extracting pulse signals according to adjusted pulse positions In the invention, threshold value is set based on enveloping and employed to extract pulses, so that the optimal threshold can be automatically selected, pulse positions can be more accurately obtained and pulses can be more accurately extracted

Method for extracting radar pulse based on self-adaption threshold value

Handle everyday research tasks with reliable, citation-backed results

Your personal Research Agent to handle research tasks with citation-backed results

Popular Tasks used by Researchers

How can I help with your research?

Meet SciSpace

Get more enhanced response by uploading the PDFs you want me to reference.

No relevant PDFs in your library

SciSpace is the AI research assistant for academics. Run systematic literature reviews on 280M+ papers, and write papers with cited sources. Trusted by 1M+ students, PhDs & researchers.

SciSpace | AI for Research

Analyze PDFs

Code & Manuscripts

Funding & Grants

Literature & Patents

Medical & Clinical Data

Systematic Review

Visualize & Present

Web & Data

Build a Google Scholar-like website for your research.

Build a website

Create charts and images for your research

Create a Chart

Write a paper for submission to a journal

Draft a manuscript

Patent Search

Design eye-catching scientific posters in minutes.

Scientific Poster Generation

Systematic Literature Review

One task is running at the moment. Your messages will be shown right after.

Drag and drop or click here to browse

Loved by <highlight>1 million+</highlight> researchers

Extract a list of specific topics and their sources from unstructured text

Topics

Compare and analyze relevant papers that matches with your search

Papers

Get insights from PDFs and bookmarked papers from your library

My library

Recent searches

Try searching for:

Catch AI-generated content in scholarly and non-scholarly content

{ai} Detector

Ai Writer

Get PDF Summaries, highlighted text explanations 

Chat with PDF

Effortlessly create in-text citations and bibliographies in APA and 2,500 other formats

Citation generator

Get explanations, summaries, and answers on academic papers

Ease up your research workflow with {scispace}'s cohort of exciting AI tools

Elevate your academic writing skills and convey your ideas the way you want

Paraphraser

Explore our range of reading and writing tools

Your file is being prepared and should be ready in a few minutes. If it's a large file, it might take a bit longer. You can close this window, and we'll email you the file when it's done.

You have reached a maximum limit of <strong>{limit}</strong> columns in the table. Remove at least <strong>1</strong> column to add or create another one.

Min Han

Author Tools

Chat about Author

Papers

Adaptive resampling-based radar signal compression method

Method for extracting radar pulse based on self-adaption threshold value