Feedback remover on the sound system using inverse phase method

VoIP servers provide several types of codecs including iLBC and Speex codecs, each type of codec has a different capacity and quality- different. So that in the process of choosing a codec implementation, VoIP becomes one of the things that affect the quality of communication. The iLBC and Speex codecs are intended for high quality but bitrate . By comparing iLBC and Speex communication, VoIP hoped that the better performance between the two codecs would communicate VoIP based on Quality of Service (QoS) and analyze the audio results of VoIP for voice quality analysis using the voice comparison method using Matlab. Based on the results of the research between the iLBC and Speex parameter value QoS including delay codec speex is smaller than iLBC codec of 31.12 ms. The jitter value of the iLBC and speex is the same, namely 0.01. The packet loss value of the iLBC codec is smaller than the speex codec of 6.18%. The results of the sound quality test in matlab using the sound comparison method showed that the delta amplitude codec speex value was smaller than iLBC codec of 0.00004551 volts.

Section: ) Analysis Of Voice Quality Parametersmentioning

confidence: 99%

Comparative Analysis of Voice Quality on iLBC and Speex Codecs Server PBX with Voice Comparison Method

Dewanti

Atmaja

Zakaria

2022

“…Filter digital adalah sebuah implementasi algoritma matematik ke dalam perangkat keras dan/atau perangkat lunak yang beroperasi pada sebuah input sinyal digital agar tujuan pemfilteran tercapai. [6] Salah satu contoh filter digital adalah Filter Infinite Impulse Response (IIR). Filter IIR dikarakteristikkan oleh respon impuls berdurasi takterhingga.…”

Section: B Filter Digital Iirunclassified

“…Tidak seperti bahasa lain yang susah untuk dibaca dan dipahami, python lebih menekankan pada keterbacaan kode agar lebih mudah untuk memahami sintaks. Cara mudah yang bisa digunakan untuk membuat script sebelum belajar bahasa Pemrograman Python supaya bisa lebih paham dan mengerti dengan segera tanpa menghabiskan waktu yang lama [6].…”

Section: E Pythonunclassified

Implementasi Metode Transformasi Biliniear Pada Filter Digital Infinite Impulse Response (IIR) Menggunakan Raspberry Pi

Islamiyah

Saptono

Hadiwiyatno

2021

Proses pengiriman informasi selalu terdapat gangguan atau noise, sifat noise tidak dapat dihilangkan namun dapat diminimalisir. Dalam penelitian ini penulis menggunakan Filter Digital IIR dikarenakan filter IIR memiliki impulse berdurasi tak hingga sehingga dapat dicocokkan dengan filter analog yang juga memiliki respon impuls durasi tak hingga.Pada penelitian ini akan dirancang Filter Digital IIR menggunakan metode transformasi bilinier dengan respon filter butterworth, chebyshev tipe 1 dan chebyshev tipe 2 pada MATLAB. MATLAB code digunakan untuk membuat program design filter sesuai dengan spesifikasi yang telah dibuat. MATLAB Simulink digunakan untuk membuat design block filter untuk di implementasikan pada Raspberry Pi. Raspberry pi digunakan sebagai perangkat untuk memproses filter tersebut. Hasil dari running MATLAB code dan juga Simulink dibandingkan untuk melihat apakah hasil implementasi sama dengan hasil program.Dari hasil pengujian dapat diketahui hasil respon frekuensi pada berbagai jenis filter yang digunakan pada pengujian sesuai dengan karakteristik masing-masing filter. Jenis filter yang baik digunakan pada filter digital IIR adalah filter Butterworth dan filter Chebyshev 2 karena pada passband tidak terdapat ripple. Jenis filter yang tidak baik digunakan pada filter digita IIR adalah filter Chebyshev 1. Pengaruh perubahan ripple terhadap nilai orde yaitu semakin kecil nilai ripple semakin besar nilai orde yang dihasilkan. Pengaruh perubahan attenuasi stopband yaitu semakin attenuasi stopband semakin kecil orde yang dihasilkan.

“…The sound output showing information about body conditions such as underweight, overweight, obese, or standard will be issued through the speaker [9]. This sound output aims to have more benefits and can be used by more people, including people with disabilities, especially the illiterate and blind [10]. The device is also automatically connected to the Application on the Smartphone equipped with advice on health which aims to monitor electronic devices wirelessly through the Android mobile application and make it easier for users to keep physically healthy.…”

Section: Introductionmentioning

confidence: 99%

Design Of Monitoring System of Height, Weight and Body Mass Index Using Android-Based Nodemcu ESP8266

Qibthiyah

2022

Generally, height and weight measurements are carried out separately as well as to determine the Body Mass Index must be calculated manually using specific formulas that not everyone understands, so it is difficult to know whether the body has reached a normal number or not. This study will provide suggested solutions to support the body to be healthy in measuring devices and android applications, for height measurement using ultrasonic sensors, weight using loadcell sensors and NodeMCU ESP8266 as data processors. The results of measuring height and weight appear on an LCD, the results of Body Mass Index (BMI) and the recommended solutions to meet standard body numbers in calculating BMI appear on the android application. Based on the results of the tests carried out, it is known that designing a measuring instrument with NodeMCU ESP8266 based on Android has been successfully carried out. The measuring instrument by implementing the Ultrasonic Sensor HC-SR04 as a height measurement can perform a success percentage of 96.95% and Loadcell Sensor as a weight measurement can perform the percentage of success is 98.97%, while in measuring Body Mass Index (BMI) can do a success percentage of 90.84%, the measuring instrument can also emit sound in the form of body condition in accordance with the measurement results obtained by the microcontroller with a success percentage of the sound output of 100% but has an average percentage of voice output delay variations of 2.1 seconds.