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All Journal Jurnal Farmasi Klinik Indonesia Makara Journal of Technology
Soegijardjo Soegijoko
Sekolah Teknik Elektro dan Informatika, Institut Teknologi Bandung, Bandung 40132, Indonesia
Chemical Engineering, Chemistry & Bioengineering Civil Engineering, Building, Construction & Architecture Electrical & Electronics Engineering Engineering Materials Science & Nanotechnology Mechanical Engineering

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Journal : Makara Journal of Technology

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Segmental Sinusoidal Model for Speech Signal Coding Setiawan, Florentinus Budi; Soegijoko, Soegijardjo; Sugihartono, Sugihartono; Tjondronegoro, Suhartono
Makara Journal of Technology Vol. 10, No. 2
Publisher : UI Scholars Hub

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Abstract

Segmental Sinusoidal Model for Speech Signal Coding. Periodic signal can be decomposed by sinusoidal component with Fourier series. With this characteristic, it can be modeled referring by sinusoidal form. By the sinusoidal model, signal can be quantized in order to encode the speech signal at the lower rate. The recent sinusoidal method is implemented in speech coding. By using this method, a block of the speech signal with 20 ms to 30 ms width is coded based on Fourier series coefficients. The new method proposed is quantization and reconstruction of speech signal by the segmental sinusoidal model. A segment is defined as a block of the speech signal from certain peak to consecutive peak. The length of the segment is variable, instead of the fixed block like the recent sinusoidal method. Coder consists of the encoder and the decoder. Encoder works to code speech signal at variable rate. Then coded signal will be transmitted to receiver. On the receiver, coded signal will be reconstructed, so that the reconstruction signal has the near quality compared with the original signal. The experimental results show that the average of segmental SNR is more than 20 dB.
Simple ML Detector for Multiple Antennas Communication System Taqwa, Ahmad; Soegijoko, Soegijardjo; Sugihartono, Sugihartono; Tjondronegoro, Suhartono
Makara Journal of Technology Vol. 13, No. 2
Publisher : UI Scholars Hub

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Simple ML Detector for Multiple Antennas Communication System. In order to support providing broadband wireless communication services against limited and expensive frequency bandwidth, we have to develop a bandwidth efficient system. Therefore, in this paper we propose a closed-loop MIMO (Multiple-Input-Multiple-Output) system using ML (Maximum Likelihood) detector to optimize capacity and to increase system performance. What is especially exciting about the benefits offered by MIMO is that a high capacity and performance can be attained without additional frequency-spectral resource. The grand scenario of this concept is the attained advantages of transformation matrices having capability to allocate transmitted signals power suit to the channel. Furthermore, product of these matrices forms parallel singular channels. Due to zero inter-channels correlation, thus we can design ML detector to increase the system performance. Finally, computer simulations validates that at 0 dB SNR our system can reach optimal capacity up to 1 bps/Hz and SER up to 0.2 higher than opened-loop MIMO.
Co-Authors Ahmad Taqwa Florentinus Budi Setiawan Florentinus Setiawan, Florentinus Irma M. Puspitasari, Irma M. Sugihartono Sugihartono Suhartono Tjondronegoro