A high-performance spectral analysis method for broadband signals is presented, which is based on the theory of digital signal processing. According to the proposed method, the partition of a broadband signal selection array is performed on a number of sub sequences. The formed subsequences are processed in accordance with the Fourier Fast Transform (FFT) algorithm. In the framework of the proposed method, expressions were obtained for calculating the main parameters of FFT structure.The analysis of the efficiency of the proposed method has proved that the productivity of the digital spectral analysis of broadband signals increases in 1,2 ÷ 4,7 times, depending on the length of the processed subsequence and the volume of the analyzed sample of the signal.

High-Processing Method of Spectral Analysis Wide-Signals

The method of resolving power enhancement of analog-digital conversion path of jitter analyzers in fiber-optical networks is suggested in the research. The analog-digital path is designed on the basis of the principle of phase-plane correction of dynamic errors and is characterized by high resolving power.

The method of resolving power enhancement of jitter analyzers in fiber-optical networks

Diabetes is one of the lifelong diseases that require systematic medical care to avoid life-menacing ramifications. Uncontrolled diabetes can cause severe damage to most internal body organs, probably leading to death. Particularly, nocturnal hypoglycemic that occur usually at night during sleep. Severe cases of these events can lead to seizures, fainting, loss of consciousness, and death. The current medical devices lack to give the warning to reduce the risk of acquiring nocturnal hypoglycemic events because they use only for glucose monitoring during waking times. Consequently, the main goal of this work is to design and implement a new wearable device to detect and monitor tremors, which occur when a user has hypoglycemia (low blood sugar). The device can detect a frequency range of 4–12 Hz by using the accelerometer of Arduino Nano 33 BLE. It can send a signal to the phone application (app) via Bluetooth Low Energy (BLE). Once the phone receives a signal, the phone application can activate an alarm system to wake up the patient, call three selected contacts number, and universal emergency number. In case of the user is unresponsive, the app can provide the patient’s location, name, and date of birth to the emergency contacts numbers and universal emergency number. Additionally, the device cost is economically feasible and competitive compared to other medical devices.

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Novel Device Used to Monitor Hand Tremors during Nocturnal Hypoglycemic Events

The objective of the represented work is the effectiveness increase of PJ signals estimation in digital paths of telecommunication systems. The method and the device of phase jitter estimation of clock signals are suggested. That is characterized by enhanced resolving power and statistical stability of estimates by means of digital multistage periodogram-correlogram processing of jitter signals.

The device of phase jitter estimation in digital paths of telecommunication systems

The method of effectiveness improvement of correction process of clock signals jitter in telecommunication systems is presented in the research. The suggested correction method of jitter on basis of accelerated convolution algorithm in Walsh basis and fast procedures of spectral cross transformations makes it possible to improve effectiveness of jitter correction process and greatly reduce the time of operating mode recovery with minimal self-jitter of telecommunication system.

Correction Method of Clock Signals Jitter in Telecommunication Systems

In this clause, the effective algorithm of signal processing of large length with usage of discrete Fourier transform is reduced. The given technique of signal processing permits to boost productivity of its implementation on the computer. The breakdown of the entry array under a sequence enables to involve in the implementation of algorithm, the cache memory of the computer and to reduce the number of procedures for the transfer of data in RAMs. It in turn boosts common processing capacity of signals.

http://ieeexplore.ieee.org/iel5/9428/29914/01365908.pdf

V. Kichak

Papers

Discrete Fourier transformation of the large implementations of signals