Capacity of The Discrete-Time Non-Coherent Memoryless Gaussian Channels at Low SNR

We address the capacity of a discrete-time memoryless Gaussian channel, where the channel state information (CSI) is neither available at the transmitter nor at the receiver. The optimal capacity-achieving input distribution at low signal-to-noise ratio (SNR) is precisely characterized, and the exact capacity of a non-coherent channel is derived. The derived relations allow to better understanding the capacity of non-coherent channels at low SNR. Then, we compute the non-coherence penalty and give a more precise characterization of the sub-linear term in SNR. Finally, in order to get more insight on how the optimal input varies with SNR, upper and lower bounds on the non-zero mass point location of the capacity-achieving input are given.Comment: 5 pages and 4 figures. To appear in Proceeding of International Symposium on Information Theory (ISIT 2008

Learning Outcomes of Sepak Sila Sepak Takraw Using Mosston's Teaching Style and Motor Ability Support

The purpose of this study was to determine the difference in the effect of reciprocal teaching styles and teaching styles practice on learning outcomes of basic sepak takraw techniques seen from the differences in students' high and low motor ability. The research method uses an experimental method with a factorial design 2 x 2. The sample in this study amounted to 40 students who were divided into four groups (A1B1, A2B1, A1B2, A2B2) each group consists of 10 people. The results of the study stated that there was a difference in the effect of reciprocal teaching styles with practice teaching styles on the learning outcomes of sepak sila in groups of students who had high motor ability. There is a difference in the effect of reciprocal teaching styles with practical teaching styles on learning outcomes of basic sepak sila techniques in groups of students who have low motor ability. There is an interaction between teaching style and motor ability on student learning outcome

Rancang Bangun Alat Ukur Kualitas Air Berdasarkan pH Air dan Kekeruhan

Telah dilakukan penelitian mengenai rancang bangun alat ukur kualitas air berdasarkan pH dan kekeruhan air. Sensor pH SKU SEN0161 dan sensor kekeruhan SKU SEN0189 dihubungkan ke mikrokontroler ESP32. Hasil pengukuran ditampilkan pada LCD secara real time dan dapat di monitoring menggunakan web browser dengan menggunkan modul wifi yang telah termasuk kedalam chip ESP32. Masing masing sensor dikalibrasi dengan alat ukur referensi yang bertujuan untuk mengubah nilai keluaran analog sensor menjadi nilai yang memiliki satuan serta membuat alat ukur yang dibuat menjadi lebih akurat. Persamaan kalibrasi untuk sensor pH adalah y = 0,9058x – 5,8108, sedangkan untuk sensor kekeruhan persamaan kalibrasinya yaitu y = 156,98x2 - 1436,1x + 3253. Untuk sensor pH, nilai koefisien error RMS sebesar 0,262 dan error rata-rata sebesar 3,52% sehingga tingkat akurasi sensor pH alat ukur sebesar 96,48%. Untuk sensor kekeruhan, nilai koefisien error RMS sebesar 2,216 dan error rata-rata sebesar 2,35% sehingga tingkat akurasi sensor kekeruhan alat ukur sebesar 97,65%. Tingkat akurasi masing-masing sensor tergolong tinggi sehingga dapat digunakan sebagai alat ukur kualitas air berdasarkan pH dan kekeruhan